The Price of Kaplan-Meier
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Cited by:
- Szilárd Nemes, 2023. "Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators," Stats, MDPI, vol. 6(4), pages 1-13, October.
- Gang Han & Michael J. Schell & Heping Zhang & Daniel Zelterman & Lajos Pusztai & Kerin Adelson & Christos Hatzis, 2017. "Testing violations of the exponential assumption in cancer clinical trials with survival endpoints," Biometrics, The International Biometric Society, vol. 73(2), pages 687-695, June.
- David Giles, 2007.
"Survival of the hippest: life at the top of the hot 100,"
Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1877-1887.
- David E. Giles, 2005. "Survival of the Hippest: Life at the Top of the Hot 100," Econometrics Working Papers 0507, Department of Economics, University of Victoria.
- Gregory Fridman & Maria Lapina, 2016. "Maximum likelihood approach for demand unconstraining problem with censoring information incompleteness," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(1), pages 37-51, February.
- Szilárd Nemes & Erik Bülow & Andreas Gustavsson, 2020. "A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances," Stats, MDPI, vol. 3(2), pages 1-13, May.
- Martin Jullum & Nils Lid Hjort, 2019. "What price semiparametric Cox regression?," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(3), pages 406-438, July.
- Pierre‐Yves Deléamont & Elvezio Ronchetti, 2022. "Robust inference with censored survival data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1496-1533, December.
- Yi Qian & Hui Xie, 2011. "No Customer Left Behind: A Distribution-Free Bayesian Approach to Accounting for Missing Xs in Marketing Models," Marketing Science, INFORMS, vol. 30(4), pages 717-736, July.
- Jong‐Hyeon Jeong, 2006. "A new parametric family for modelling cumulative incidence functions: application to breast cancer data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 289-303, March.
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